65 stories · page 2 of 5
Germany's media regulator has decided that AI-generated content from Google and Perplexity AI falls under national media laws. A German court ruled Google directly liable for misinformation from its AI Overview feature, intensifying scrutiny of the technology. AI-produced content will be treated as originating from the providers themselves.
Germany's media regulator has determined that Google's AI Overviews and Perplexity AI must comply with national media laws. , Technology & Science, Times Now
Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human‐AI collaboration and hybrid intelligence in learning. The concept of hybrid intelligence is still at a nascent stage, and how learners can benefit from a symbiotic relationship with var…
This study focuses on Roblox as a case study to explore the legal and technical challenges of content moderation on child-focused social media platforms. As a leading Metaverse platform with millions of young users, Roblox provides immersive and interactive virtual experiences but also introduces significant risks, including exposure to inappropriate content, cyberbullying, and predatory behavior. The research examines the shortcomings of current automated and human moderation systems, highlighting the difficult…
Over the past few years, China has seen a substantial change in financial rules. The country’s recent fundamental redesign of its supervision structure has resulted in a dramatically altered regulatory framework for banks and other financial services organizations operating in China. The National Financial Regulatory Administration (NFRA), China’s new super financial regulator, is revolutionizing regulating the financial sector. Except for the securities industry, all financial sectors are regulated by the centr…
Abstract This Article addresses the pressing issues surrounding the use of automated systems in public decision-making, specifically focusing on migration, asylum, and mobility. Drawing on empirical data, this Article examines the potential and limitations of the General Data Protection Regulation and the Artificial Intelligence Act in effectively addressing the challenges posed by automated decision-making (ADM). The Article argues that the current legal definitions and categorizations of ADM fail to capture th…
Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its effective adoption. While prior studies have emphasized strategic benefits and readiness models, there remains a lack of operational guidance tailored to SME realities—particularly regarding implementation barriers, resource constraints, and emerging demands for responsible AI use. This study presents an analysis of AI adoption in SMEs by integrating the t…
Ensuring the trustworthiness of artificial intelligence (AI) systems is critical as they become increasingly integrated into domains like healthcare, finance, and public administration. This paper explores frameworks and metrics for evaluating AI trustworthiness, focusing on key principles such as fairness, transparency, privacy, and security. This study is guided by two central questions: how can trust in AI systems be systematically measured across the AI lifecycle, and what are the trade-offs involved when op…
Artificial intelligence (AI) is increasingly transforming government decision-making processes. This article presents a systematic literature review of 43 studies (2020-2025) examining AI’s impact on public-sector decision-making, delineating its advantages, disadvantages, policy implications, technical aspects, and ethical concerns. The findings indicate that AI technologies offer significant benefits for government decision-making, including improved efficiency, data-driven insights, and enhanced service deliv…
‘Deepfakes’ and other forms of digital communications disinformation are now on the virtual frontlines of many armed conflicts. Military commanders can potentially gain significant tactical advantages by misleading enemy forces, opposing governments, and civilian populations into believing X when Y is the true state of affairs. Distinct from military propaganda, deliberate deceptions and subterfuge have long been part of warfare. However, a powerful claim is advanced that deepfakes such as announcing surrender,…
This study investigates the impact of over-reliance on artificial intelligence (AI) in educational settings and its negative consequences on student learning, focusing on the moderating effects of ethical concerns and institutional policies. As students increasingly depend on AI tools, potential risks to critical thinking and engagement may arise. Understanding these dynamics is essential for educators and policymakers to develop strategies that mitigate the adverse effects of AI dependence. The research utilize…
Introduction This research analyses Ecuadorians’ perceptions of the use of generative artificial intelligence (AI) in the dissemination of disinformation during the 2025 presidential elections. In light of the growing use of synthetic technologies in political campaigns, it examines the impact of AI on electoral integrity, public trust and the need for regulation. Methodology Mixed explanatory approach, based on two surveys ( n = 201 and n = 64), nine semi-structured interviews with experts after the elections,…
Abstract ChatGPT is another large language model (LLM) vastly available for the consumers on their devices but due to its performance and ability to converse effectively, it has gained a huge popularity amongst research as well as industrial community. Recently, many studies have been published to show the effectiveness, efficiency, integration, and sentiments of chatGPT and other LLMs. In contrast, this study focuses on the important aspects that are mostly overlooked, i.e. sustainability, privacy, digital divi…
Abstract Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information d…
Governments increasingly use algorithms to inform or supplant decision-making. Artificial Intelligence systems in particular are considered objective, consistent and efficient decision-makers, but have also been shown to be fallible. Furthermore, the adoption of artificial intelligence (AI) in government is fraught with challenges which are only partly understood and rarely studied in practice. In this paper, we draw on science and technology studies and human computer interaction and report on a critical case s…
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